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Record W1034250266 · doi:10.7710/1526-0569.1530

Gun Ownership and Gun Culture in the United States of America

2015· article· en· W1034250266 on OpenAlexaff
Michael Kocsis

Bibliographic record

VenueEssays in Philosophy · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsGun violencePolitical scienceGun controlCriminologySociologyPoison controlHuman factors and ergonomicsLawMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Almost everyone agrees that gun ownership is part of the complex fabric of values and traditions that comprise American society. All sides in the gun ownership debate understand that firearms are embedded deeply in America’s society and culture. But whereas for some the right to own guns is a non-negotiable promise guaranteed constitutionally, for others it is far more an element of the American experience than is desirable. This essay examines three arguments which have not usually received full treatment in analytical debates, but which may help us to reframe the sharp polarization that now characterizes the discourse. The first relies on distinctively American ideals of liberty, property rights, and the right of protection from the state. The second considers the implications of American liberty and property across contemporary culture. The final argument captures a somewhat more obscure aspiration in American life: the freedom which can be enjoyed only when society has achieved the public good of safety from deadly firearms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.370
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2015
Admission routes1
Has abstractyes

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